How to calculate MAPE, MAE and SD for LRN neural networl

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Shaheer Ansari
Shaheer Ansari 2020-11-12
评论： Shaheer Ansari 2021-3-20
Dear all,
I am currently using LRN neural network for the prediction and needs to calculate performance indices like MAPE, MAE and SD. As mentioned below, i am trying to calculate from the given formula but i am getting the value in double which is undesirable as the value need to be in an integer form although i am getting the value of other performnance indices like MSE and RMSE in integrer form. Please assist in this regard
lrn_net = layrecnet(1,10);
lrn_net.trainFcn = 'trainlm';
lrn_net.trainParam.show = 5;
lrn_net.trainParam.epochs = 500;
lrn_net = train(lrn_net,data_train,target_train);
y = lrn_net(data_test);
performance = perform(lrn_net,target_test, y)
RMSE = sqrt(performance)
MSE = mse(lrn_net,target_test, y)
MAPE=(sum(abs((y-target_test)./(y)))./length(target_test))*100
MAE=(sum(abs(y-target_test))./length(target_test))*100
SD=(std(y-target_test))*100

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采纳的回答

Kyle Rawding
Kyle Rawding 2021-3-17
Hi Shaheer -
To convert from double to int, you could use the uint8 or int8 functions, or another from that family of functions.
For example,
MAPE=uint8((sum(abs((y-target_test)./(y)))./length(target_test))*100);
Hope that helps,
Kyle

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